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Automatic counting and classification of silkworm eggs using deep learning

We describe the use of convolution neural networks to identify and quantify the silkworm eggs that are laid on a sheet of paper by female silk moth. The method is also capable of identifying individual egg and classifying them into Hatched egg class and Unhatched egg class, thus outperforming image...

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Bibliographic Details
Main Authors:	Shreedhar Rangappa, A. Ajay, G.S. Rajanna
Format:	Default Conference proceeding
Published:	2019
Subjects:	Mechanical engineering not elsewhere classified Deep learning Convolution neural network Datasets Accuracy Silkworms Fe-cundity Hatching Percentage Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/36803
Tags:	Add Tag No Tags, Be the first to tag this record!

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